Uncertainty in Artificial Intelligence
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Freedom: A Measure of Second-order Uncertainty for Intervalic Probability Schemes
Michael Smithson
This paper discusses a new measure that is adaptable to certain intervalic probability frameworks, possibility theory, and belief theory. As such, it has the potential for wide use in knowledge engineering, expert systems, and related problems in the human sciences. This measure (denoted here by F) has been introduced in Smithson (1988) and is more formally discussed in Smithson (1989a)o Here, I propose to outline the conceptual basis for F and compare its properties with other measures of second-order uncertainty. I will argue that F is an indicator of nonspecificity or alternatively, of freedom, as distinguished from either ambiguity or vagueness.
Pages: 327-334
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PDF Link: /papers/89/p327-smithson.pdf
AUTHOR = "Michael Smithson ",
TITLE = "Freedom: A Measure of Second-order Uncertainty for Intervalic Probability Schemes",
BOOKTITLE = "Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
ADDRESS = "Corvallis, Oregon",
YEAR = "1989",
PAGES = "327--334"

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